{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# User's Guide, Chapter 29: Spanners 1 (Slurs)\n",
    "\n",
    "In `music21`, a \":class:`~music21.spanner.Spanner`\" is a :class:`~music21.base.Music21Object` that denotes a relationship among other elements, such as Notes, Chords, or even Streams, which may or may not be separated in a hierarchy, such as `Note` objects in different measures.  They are used to encode things such as Slurs or lines or Ottava (8va) marks and even things like staff groupings.  Music would be dull if we could not cross the barline, and Spanners are the key to doing so successfully.\n",
    "\n",
    "## Slurs\n",
    "\n",
    "Let's create our first spanner, a simple slur between two notes in a measure.  We will use `TinyNotation` to quickly get a short part:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+RSSpyike2HRN2VZKMxlYRPw/75ayfhC4qaURqdQ/ZLCPqzLYh+p3F7AXcByw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\naodS8ooAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 50,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = converter.parse(\"tinynotation: 4/4 c4 d e f g a b c' b a g2\")\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's put a slur over the first two notes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<music21.spanner.Slur <music21.note.Note C><music21.note.Note D>>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = p.recurse().notes[0]\n",
    "d = p.recurse().notes[1]\n",
    "sl1 = spanner.Slur([c, d])\n",
    "sl1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note a couple of things: the notes of the spanner should be enclosed in a grouping container such as a list or tuple and then passed into the Slur, usually when it is created.\n",
    "\n",
    "If we look at the part, nothing has changed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+RSSpyike2HRN2VZKMxlYRPw/75ayfhC4qaURqdQ/ZLCPqzLYh+p3F7AXcByw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\naodS8ooAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 50,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Why not?  Well, we have a slur, but it's not part of the part yet.  So let's put it into the first measure.  By convention we put spanners at the beginning of a Stream, at offset 0.0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QSapyigc2XVq2ldJMAc4gfs9bp6wfBK5vaUQq9U8Z7OPSDPah+t0BbA8cCcwB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\nM0mSJEmSJEnSMP8fFLlIyfqs7XcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 60,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "m1 = p.getElementsByClass('Measure')[0]\n",
    "m1.insert(0.0, sl1)\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ta-da! The slur is present and connects the first two notes.\n",
    "\n",
    "But the power of the slur is that it can cross barlines.  So let's create another one from the F to the A."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "m2 = p.getElementsByClass('Measure')[1]\n",
    "f = m1.notes[-1]\n",
    "g = m2.notes[0]\n",
    "a = m2.notes[1]\n",
    "sl2 = spanner.Slur([f, g, a])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have a bit of a dilemma -- where to put this second slur?  Does it go in the measure of the first note? The measure of the last note? The part?  The answer is actually that it can go in any of these! It's just a question of where you want to find it later.  We'll put it in the Part:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mU+AjxG/D24D3E4n1s4m7ukyuS5IkSepqvUS5i1K1h39PdCg3lHF5z9m7EYF2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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 60,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p.insert(0.0, sl2)\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Depending on what you want to use the spanner for, you might not need to include all the intermediary notes in a spanner.  For instance, let's slur the last four notes on the piece, specifying only the high C and the final G.  We'll put in the last measure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PodTJ5hDHtWXEca3QDkSPjbpcRXSVHgaOqGCbQ0Z4vueS7U4qs80+ec83DHyo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\nBf+TJEmSJEmSJG3k/wM6GsmB9xPIdgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 60,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "m3 = p.getElementsByClass('Measure')[2]\n",
    "c2 = m2.notes[-1]\n",
    "g2 = m3.notes[-1]\n",
    "sl3 = spanner.Slur([c2, g2])\n",
    "m2.insert(0, sl3)\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For any spanner, such as a slur, we can see which elements are contained in it with `.getSpannedElements`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<music21.note.Note C>, <music21.note.Note D>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sl1.getSpannedElements()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<music21.note.Note F>, <music21.note.Note G>, <music21.note.Note A>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sl2.getSpannedElements()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that since the last slur only had the start and end notes specified, it doesn't report the B or A as \"in\" the slur:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<music21.note.Note C>, <music21.note.Note G>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sl3.getSpannedElements()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This could be thought of as a feature in some ways:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tXvX23FN+anWfrmWEKDNYqdekJEkTzZYmt/P7tH3SFuxpXmknopxyWgrk40Tr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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 59,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g2.duration.type = 'quarter'\n",
    "g2.setOffsetBySite(m3, 4.0) # move to last quarter note\n",
    "aflat = note.Note('A-4')\n",
    "m3.insert(3.0, aflat)\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Spanners in Streams\n",
    "\n",
    "As far as a Stream is concerned, a spanner is just another element.  So when iterating through a stream, it will appear:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<music21.clef.TrebleClef>\n",
      "<music21.meter.TimeSignature 4/4>\n",
      "<music21.note.Note C>\n",
      "<music21.spanner.Slur <music21.note.Note C><music21.note.Note D>>\n",
      "<music21.note.Note D>\n",
      "<music21.note.Note E>\n",
      "<music21.note.Note F>\n"
     ]
    }
   ],
   "source": [
    "for el in m1:\n",
    "    print(el)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remember that we chose to put the second slur in the part, so only the first slur appeared.\n",
    "\n",
    "There's also a shortcut for getting all the spanners in a stream, the `.spanners` property:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<music21.spanner.Slur <music21.note.Note C><music21.note.Note D>>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(m1.spanners)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<music21.spanner.Slur <music21.note.Note C><music21.note.Note D>>\n",
      "<music21.spanner.Slur <music21.note.Note F><music21.note.Note G><music21.note.Note A>>\n",
      "<music21.spanner.Slur <music21.note.Note C><music21.note.Note G>>\n"
     ]
    }
   ],
   "source": [
    "for sp in p.recurse().spanners:\n",
    "    print(sp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Querying spanners\n",
    "\n",
    "Spanners can tell us a lot of information about their contents.  For instance, the number of elements spanned:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(sl1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(sl2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "They can find the first and last element:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<music21.note.Note F>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sl2.getFirst()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<music21.note.Note A>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sl2.getLast()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And they can tell if something `.isFirst()` or `.isLast()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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HrqK5t+Omtagsqs8vG1hmKXAy8P0Wl0WSpG5wSwPLeG6sT1qDfSNgc6LtwiOI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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 69,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for el in p.recurse():\n",
    "    for sp in [sl1, sl2, sl3]:\n",
    "        if sp.isFirst(el):\n",
    "            el.lyric = 'First!'\n",
    "        elif sp.isLast(el):\n",
    "            el.lyric = 'Last!'\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also tell if any element is in a particular spanner:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f in sl2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g in sl2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f in sl1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting spanners from Music21Objects\n",
    "\n",
    "Each element in a stream can also report what spanners are attached to it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<music21.spanner.Slur <music21.note.Note C><music21.note.Note D>>]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c.getSpannerSites()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "e = p.recurse().notes[2]\n",
    "e.getSpannerSites()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This method returns a list because it is possible for an object to be a part of more than one spanner.  For instance:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7g/dvCV5/imoQJDkHWF6DchTjsIRxdwIfRL3A7op6IzYza2TT0PE8X8orMzMzs1YxHHgW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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 69,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gliss = spanner.Glissando([f, g])\n",
    "p.insert(0, gliss)\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<music21.spanner.Slur <music21.note.Note F><music21.note.Note G><music21.note.Note A>>,\n",
       " <music21.spanner.Glissando <music21.note.Note F><music21.note.Note G>>]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.getSpannerSites()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Manipulating spanners\n",
    "\n",
    "Spanners can add elements such as notes to them.  Let's put the e into the first slur:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<music21.spanner.Slur <music21.note.Note C><music21.note.Note D><music21.note.Note E>>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sl1.addSpannedElements(e)\n",
    "sl1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, note that if we wanted to add the elements in the last slur, we can't just use `.addSpannedElements`, because it's important that G remains last.  But we can take advantage of the fact that Spanners store a Stream and just manipulate that Stream directly.  It is called `.spannerStorage`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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w3mJ1kEtD0wucEpRpS3TA2q5K32NmZmaV2x3lIiwlWL4beqC/BDW5LMZY4Gpg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\nSUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 69,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "b2 = p.recurse().notes[-4]\n",
    "a2 = p.recurse().notes[-3]\n",
    "\n",
    "sl3.spannerStorage.elements = [c2, b2, a2, aflat, g2]\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks the same, but now sl3 contains the notes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<music21.note.Note C>,\n",
       " <music21.note.Note B>,\n",
       " <music21.note.Note A>,\n",
       " <music21.note.Note A->,\n",
       " <music21.note.Note G>]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[n for n in sl3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Changing the look of spanners"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are many types of spanners, each with its own properties. (As Audrey Hepburn in _Roman Holiday_ might say, \"Each is unforgettable in its own way...\") It's worth looking at :ref:`moduleSpanner` to see what each type can configure, but here are some ideas.\n",
    "\n",
    "Slurs can be placed above or below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SHY5aDF8GfADYD23HScH0dcAy4CF8f9ZsdkD7DcDewNIq1+d9uLWUc25cG8zn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\nug/VnM8KpIfj4joSQ3zcQPD9HURB/7B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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 69,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sl1.placement = 'above'\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Slurs also can configure whether they are solid or dashed, though this does not currently render in MuseScore.\n",
    "\n",
    "Glissandos have labels:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FnaruQK6X9e3I5XB/BF089tWrgNaUppPrn8Ed7GZrLsqz+xLwnYzLMjR4fQX/XzSbsLXm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\nDgkAAAAABP1/7QgrAAAAcARlnsTYozNNGwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 69,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gliss.label = 'gliss.'\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Crescendo and Diminuendo wedges are also spanners, though they live in the :ref:`moduleDynamics` module, and have a `.spread` property:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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lp/a4DbU4fgYfa3maGHtdi3sMH8OtLevcuAxf25SiF90TjAa2BU4FjkDZAzqA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\naVKW5KNLAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 69,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "b = p.measure(2).notes[3]\n",
    "\n",
    "cresc = dynamics.Crescendo([a, b, c2])\n",
    "cresc.spread = 20\n",
    "\n",
    "dim = dynamics.Diminuendo([b2, a2, aflat])\n",
    "dim.spread = 10\n",
    "\n",
    "p.insert(0.0, cresc)\n",
    "p.insert(0.0, dim)\n",
    "\n",
    "p.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MuseScore does not import the spread value, but Finale does, so look for it there.  It is measured in tenths of a staff line. `Music21` also supports a `.niente` value for fading to nothingness, but the MusicXML renderers we know of don't support it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "dim.niente = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Well, I'm fading to nothingness myself, so it's time to move on.  We've done nine more chapters, so it's time to work through examples again, in :ref:`Chapter 30: Examples 3<usersGuide_30_examples3>`."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
